MA121: Introduction to Statistics
Offered By: Saylor Academy
Course Description
Overview
Gain a comprehensive understanding of statistical concepts and methods in this 32-hour course covering data analysis, probability theory, sampling distributions, confidence intervals, hypothesis testing, and linear regression. Explore practical applications of statistics through hands-on exercises and real-world examples, developing essential skills for interpreting and presenting data effectively. Conclude with a final exam to demonstrate mastery of key statistical principles and earn a certificate of completion.
Syllabus
- Course Introduction
- Unit 1: Statistics and Data
- Unit 2: Elements of Probability and Random Variables
- Unit 3: Sampling Distributions
- Unit 4: Estimation with Confidence Intervals
- Unit 5: Hypothesis Test
- Unit 6: Linear Regression
- Study Guide
- Course Feedback Survey
- Certificate Final Exam
- Saylor Direct Credit
Related Courses
Statistics OnePrinceton University via Coursera Intro to Statistics
Stanford University via Udacity Passion Driven Statistics
Wesleyan University via Coursera Statistics
San Jose State University via Udacity Introduction to Statistics: Inference
University of California, Berkeley via edX